Download Gurobi Optimization Gurobi v4.5.0 crack by EAT

Added to site2011-05-19
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Gurobi_Optimization_Gurobi_v4_crack.zip (161948 bytes)

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                 Gurobi.Optimization.Gurobi.v4.5.0.Cracked-EAT                 



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░██    ▒  SUPPLIER ....: TEAM EAT                                       ▒    ██░
▐█▌    ▒  PROG TYPE ...: SCIENTIFIC                                     ▒    ▐█▌
██     ░  LANGUAGE ....: ENGLISH                                        ░     ██
█▌        RELEASE DATE.: 2011-05-XX                                           ▐█
█      ░                                                                ░      █
█     ░   CRACKER ......: TEAM EAT                                       ░     █
█         PROTECTION ...: DEMO-LIMITS                                          █
█         DIFFICULTY ...: GUESS!                                               █
█                                                                              █
█         PACKAGER ....: TEAM EAT                                              █
█         FORMAT ......: ZIP/RAR                                               █
█         ARCHIVE NAME.: eatgr45a.zip                                          █
█         No OF DISKS .: [XX/02]                                               █
█                                                                              █
█         REQUIREMENTS .: WinXP/Vista/Win7                                     █
█         PRICE ........: $8,500.00                                            █
█         WEBSITE.......: http://www.gurobi.com                                █
█                                                                              █
█▌                                                                            ▐█
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█             The Gurobi Optimizer is a state-of-the-art solver                █
█             for linear programming (LP), quadratic programming               █
█             (QP) and mixed-integer programming (MILP and MIQP).              █
█             It was designed from the ground up to exploit modern             █
█             multi-core processors. Every Gurobi license allows               █
█             parallel processing, and the Gurobi Parallel                     █
█             Optimizer is deterministic: two separate runs on the             █
█             same model will produce identical solution paths.                █
█                                                                              █
█             For solving LP and QP models, the Gurobi Optimizer               █
█             includes high-performance implementations of the                 █
█             primal simplex method, the dual simplex method, and              █
█             a parallel barrier solver. For MILP and MIQP models,             █
█             the Gurobi Optimizer incorporates the latest methods             █
█             including cutting planes and powerful solution                   █
█             heuristics. All models benefit from advanced                     █
█             presolve methods to simplify models and slash solve              █
█             times.                                                           █
█                                                                              █
█             The Gurobi Optimizer is written in C and is                      █
█             accessible from several languages. In addition to a              █
█             powerful, interactive Python interface and a                     █
█             matrix-oriented C interface, we provide                          █
█             object-oriented interfaces from C++, Java, Python,               █
█             and the .NET languages. These interfaces have all                █
█             been designed to be lightweight and easy to use,                 █
█             with the goal of greatly enhancing the accessibility             █
█             of our products. And since the interfaces are                    █
█             lightweight, they are faster and use less memory                 █
█             than other standard interfaces. Our online                       █
█             documentation (Quick Start Guide, Example Tour and               █
█             Reference Manual) describes the use of these                     █
█             interfaces.                                                      █
█                                                                              █
█             Gurobi is also available through several powerful                █
█             third-party modeling systems including AIMMS, AMPL,              █
█             FRONTLINE SOLVERS, GAMS, MPL, OptimJ and TOMLAB.                 █
█                                                                              █
█             Most of the changes in the 4.5 release of the Gurobi             █
█             Optimizer are related to performance. Users of                   █
█             previous versions will typically not need to make                █
█             any changes to their programs to use the new                     █
█             version. The new version does contain a few new                  █
█             features, described here.                                        █
█                                                                              █
█               * New default Method for continuous models: The                █
█               new version uses a new Automatic setting as the                █
█               default for solving continuous models. In previous             █
█               releases, continuous models were solved with the               █
█               dual simplex method by default. While the exact                █
█               strategy used by the new Automatic setting may                 █
█               change in future releases, in this release the new             █
█               approach uses the concurrent optimizer for                     █
█               continuous models with a linear objective (LPs),               █
█               the barrier optimizer for continuous models with a             █
█               quadratic objective (QPs), and the dual simplex                █
█               optimizer for the root node of a MIP model. You                █
█               should change the Method parameter if you would                █
█               like to choose a different method.                             █
█                                                                              █
█               * New Minimum Releaxation heuristic: The new                   █
█               version contains a new Minimum Relaxation                      █
█               heuristic that can be useful for finding solutions             █
█               to MIP models where other strategies fail to find              █
█               feasible solutions in a reasonable amount of time.             █
█               Use the new MinRelNodes parameter to control this              █
█               new heuristic.                                                 █
█                                                                              █
█               * New branch direction control: The new version                █
█               allows more control over how the branch-and-cut                █
█               tree is explored. Specifically, when a node in the             █
█               MIP search is completed and two child nodes,                   █
█               corresponding to the down branch and the up branch             █
█               are created, the new BranchDir parameter allows                █
█               you to determine whether the MIP solver will                   █
█               explore the down branch first, the up branch                   █
█               first, or whether it will choose the next node                 █
█               based on a heuristic determination of which                    █
█               sub-tree appears more promising.                               █
█                                                                              █
█               * Cut pass limit: The new version allows you to                █
█               limit the number of cut passes performed during                █
█               root cut generation in MIP. Use the new CutPasses              █
█               parameter.                                                     █
█                                                                              █
█               * Additional information for infeasible and                    █
█               unbounded linear models: The new version allows                █
█               you to obtain a Farkas infeasibility proof for                 █
█               infeasible models, and an unbounded ray for                    █
█               unbounded models. Use the new InfUnbdInfo                      █
█               parameter, and the new FarkasProof, FarkasDual,                █
█               UnbdRay attributes to obtain this information.                 █
█▌                                                                            ▐█
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           ▄   Do NOT distribute this release outside of the scene   ▄
          ▄             Keep the scene alive and secure!              ▄
         ▄                                                             ▄
                       All good progs start as freeware,                      
                         then things get worse ... ;-)                        

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█             1. Unpack and install.                                           █
█             2. Copy the included files over the originals.                   █
█                                                                              █
█             That's all. Have fun using it! ;-)                               █
█                                                                              █
█      ___________________________________________________________________     █
█                                                                              █
█      Always remember to block applications (or go off line) from calling     █
█      home 'during install'. Once installed, disable 'check for automatic     █
█      updates' option if available, so that you don't get it blacklisted.     █
█▌                                                                            ▐█
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▒ ███  ░     EAT is a closed group. We would consider only:             ░  ███ ▒
▒ ███  ░                                                                ░  ███ ▒
░ ██▌  ░     ■ Excellent reverse-engineers                              ░  ▐██ ░
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      ▀▀▓▓██▀███████▄▄▄                                    ░    ▄▀█████▓▓▀▀
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▒▐██   ▒                                                                ▒   ██▌▒
░▐█▌   ▒                                                                ▒   ▐█▌░
░██                                                                          ██░
▐█▌    ░                                                                ░    ▐█▌
██     ░                                                                ░     ██
█▌    ░                                                                  ░    ▐█
█                        All our friends out there ...                         █
█                                                                              █
█                      Respect goes out to the competition                     █
█                     and to those who keep the scene secure!                  █
█                                                                              █
█▌                                                                            ▐█
██                              ▄▄████▓▄▓████▄▄                               ██
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           ███░ ▀▒▀ ░                                     ░     ░███
          ███ ░      ∙ ∙ NFO LAST UPDATE ON 2009 ∙ ∙           ░ ███
         ▐██  ░                                                 ░  ██▌
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        █    ░                                                   ░    █
        ▌                                                             ▐
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FILE_ID.DIZ

EAT presents crack for Gurobi Optimization Gurobi v4.5.0


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